Suitably graded THB-spline refinement and coarsening: Towards an adaptive isogeometric analysis of additive manufacturing processes

Abstract In the present work we introduce a complete set of algorithms to efficiently perform adaptive refinement and coarsening by exploiting truncated hierarchical B-splines (THB-splines) defined on suitably graded isogeometric meshes, that are called admissible mesh configurations. We apply the proposed algorithms to two-dimensional linear heat transfer problems with localized moving heat source, as simplified models for additive manufacturing applications. We first verify the accuracy of the admissible adaptive scheme with respect to an overkilled solution, for then comparing our results with similar schemes which consider different refinement and coarsening algorithms, with or without taking into account grading parameters. This study shows that the THB-spline admissible solution delivers an effective discretization for what concerns not only the accuracy of the approximation, but also the (reduced) number of degrees of freedom per time step. In the last example we investigate the capability of the algorithms to approximate the thermal history of the problem for a more complicated source path. The comparison with uniform and non-admissible hierarchical meshes demonstrates that also in this case our adaptive scheme returns the desired accuracy while strongly improving the computational efficiency.

[1]  Alessandra Sestini,et al.  Adaptive fitting with THB-splines: Error analysis and industrial applications , 2018, Comput. Aided Geom. Des..

[2]  David R. Forsey,et al.  Hierarchical B-spline refinement , 1988, SIGGRAPH.

[3]  T. Hughes,et al.  Isogeometric analysis : CAD, finite elements, NURBS, exact geometry and mesh refinement , 2005 .

[4]  Ernst Rank,et al.  A hierarchical computational model for moving thermal loads and phase changes with applications to selective laser melting , 2017, Comput. Math. Appl..

[5]  Hendrik Speleers,et al.  THB-splines: The truncated basis for hierarchical splines , 2012, Comput. Aided Geom. Des..

[6]  Carlotta Giannelli,et al.  Adaptive isogeometric methods with hierarchical splines: An overview , 2019, Discrete & Continuous Dynamical Systems - A.

[7]  Thomas J. R. Hughes,et al.  Isogeometric Analysis: Toward Integration of CAD and FEA , 2009 .

[8]  Bert Jüttler,et al.  Adaptive CAD model (re-)construction with THB-splines , 2014, Graph. Model..

[9]  K. Bathe Finite Element Procedures , 1995 .

[10]  Brent Stucker,et al.  A Generalized Feed-Forward Dynamic Adaptive Mesh Refinement and Derefinement Finite-Element Framework for Metal Laser Sintering—Part II: Nonlinear Thermal Simulations and Validations , 2016 .

[11]  Benjamin Marussig,et al.  Improved conditioning of isogeometric analysis matrices for trimmed geometries , 2018, Computer Methods in Applied Mechanics and Engineering.

[12]  B. Simeon,et al.  A hierarchical approach to adaptive local refinement in isogeometric analysis , 2011 .

[13]  Bert Jüttler,et al.  THB-splines: An effective mathematical technology for adaptive refinement in geometric design and isogeometric analysis , 2016 .

[14]  Alessandro Reali,et al.  Finite element and NURBS approximations of eigenvalue, boundary-value, and initial-value problems , 2014 .

[15]  Rafael Vázquez,et al.  Algorithms for the implementation of adaptive isogeometric methods using hierarchical splines , 2016 .

[16]  Michael A. Scott,et al.  Isogeometric spline forests , 2014 .

[17]  Alessandro Reali,et al.  Studies of Refinement and Continuity in Isogeometric Structural Analysis (Preprint) , 2007 .

[18]  Alessandro Reali,et al.  GeoPDEs: A research tool for Isogeometric Analysis of PDEs , 2011, Adv. Eng. Softw..

[19]  L. Papadakis,et al.  A computational reduction model for appraising structural effects in selective laser melting manufacturing , 2014 .

[20]  Carlotta Giannelli,et al.  Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines , 2018, Axioms.

[21]  Carlotta Giannelli,et al.  Adaptive isogeometric methods with hierarchical splines: error estimator and convergence , 2015, 1502.00565.

[22]  J. Heigel,et al.  Measurement of the Melt Pool Length During Single Scan Tracks in a Commercial Laser Powder Bed Fusion Process , 2017 .

[23]  Hendrik Speleers,et al.  Effortless quasi-interpolation in hierarchical spaces , 2016, Numerische Mathematik.

[24]  Yuri Bazilevs,et al.  An immersogeometric variational framework for fluid-structure interaction: application to bioprosthetic heart valves. , 2015, Computer methods in applied mechanics and engineering.

[25]  Rafael Vázquez,et al.  A new design for the implementation of isogeometric analysis in Octave and Matlab: GeoPDEs 3.0 , 2016, Comput. Math. Appl..

[26]  Lars-Erik Lindgren,et al.  Modelling of metal deposition , 2011 .

[27]  Carlos Armando Duarte,et al.  Transient analysis of sharp thermal gradients using coarse finite element meshes , 2011 .

[28]  Markus Kästner,et al.  Projection and transfer operators in adaptive isogeometric analysis with hierarchical B-splines , 2018, Computer Methods in Applied Mechanics and Engineering.

[29]  Carlotta Giannelli,et al.  Adaptive isogeometric methods with hierarchical splines: Optimality and convergence rates , 2017 .

[30]  C. Kamath,et al.  Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges , 2015 .

[31]  Markus Kästner,et al.  Bézier extraction and adaptive refinement of truncated hierarchical NURBS , 2016 .

[32]  W. Dörfler A convergent adaptive algorithm for Poisson's equation , 1996 .

[33]  John A. Evans,et al.  An Isogeometric design-through-analysis methodology based on adaptive hierarchical refinement of NURBS, immersed boundary methods, and T-spline CAD surfaces , 2012 .

[34]  Alessandro Reali,et al.  Multi-level Bézier extraction for hierarchical local refinement of Isogeometric Analysis , 2017 .

[35]  Peter Wriggers,et al.  Isogeometric contact: a review , 2014 .

[36]  Thomas J. R. Hughes,et al.  Hierarchically refined and coarsened splines for moving interface problems, with particular application to phase-field models of prostate tumor growth , 2017 .